Scale Your Business With Data with Crawford McMillan
Scale Your Business With Data with Crawford McMillan
Podcast Description
The Scale Your Business with Data podcast is the no-fluff guide for leaders who know there’s money buried in their data but need a proven map to dig it up—fast.
Hosted by Graham Crawford (co-founder of Crawford MacMillan and longtime “data whisperer” for high-growth teams), each weekly episode distills decades of front-line experience into conversations you can act on immediately. Forget buzzwords and theoretical frameworks; this show zeroes in on the real-world moves that turn:
- Chaotic spreadsheets into clear signals, so you see which levers actually drive revenue, margin, and customer loyalty.
-Everyday metrics into decision intelligence, so you stop debating dashboards and start reallocating budgets, products, and people with confidence.
-Expensive AI hype into practical advantage, learn how to define and govern data first, then layer automation without sacrificing explainability or control.
-“Hope” strategies into repeatable playbooks—so multi-million-dollar calls happen in minutes, not months.
Whether you’re scaling a startup, steering a Fortune-500 unit, or simply tired of dashboards that look good but do nothing, you’ll walk away each week with:
-Actionable insights you can deploy before the next meeting.
-Battle-tested stories that de-risk your own transformation.
-A clearer mental model for leading people, processes, and technology around data—not the other way around.
-No jargon, no ivory-tower theory—just candid talk, unexpected analogies, and an unwavering focus on value creation.
Subscribe today and join a community that turns hidden numbers into breakout growth.
Podcast Insights
Content Themes
The podcast explores a range of topics focused on data strategy, decision intelligence, and AI implementation. Episodes cover practical aspects such as transforming chaotic spreadsheets into clear signals for revenue growth, optimizing corporate KPIs, and utilizing data for effective decision-making. For instance, one episode features Nick White discussing how data strategy can bridge the gap between data collection and actionable insights, enhancing business performance.

Private equity meets data. Conversations with deal teams, operating partners, and portfolio company leaders about the data problems that kill deals, slow exits, and destroy value.
Hosted by Graeme Crawford, founder of Crawford McMillan. 20 years leading data programs at Fortune 100 companies. Now helping PE-backed companies fix data before exits so the numbers hold up under scrutiny.
New episodes cover diligence red flags, value creation playbooks, and the real stories behind successful (and failed) transactions.
Holli Moeini spent 35 years as a CFO scaling companies through acquisitions before leaving corporate to help founders protect their value when going up against PE buyers. Her book, Find the Missing Millions in M&A, breaks down the five moments in every deal where money moves toward you or away from you. In this episode, she maps out each one and explains what sellers can do before they ever get to the table.
The conversation gets into the financial story, working capital, diligence, earn outs, and integration. Each one is a place where the unprepared seller loses. The ones who walk away with the most are the ones who treat their data and accounting as front office functions, not back office overhead.
[00:00| You cannot go it alone
[04:55| Five crime scenes in every deal
[07:15| Cleaner data, better multiple
[11:41| Working capital costs millions
[20:57| Earn out clarity control cadence
[25:29| Integration starts before close
[29:02| Data as a front office function
[41:49| Run it like you will sell
Guest Information
Holli Moeini is a CPA and M&A advisor with over 35 years in finance. She spent her career as a CFO scaling companies from $30M to $200M through acquisitions. She now works with founders and sellers preparing for PE transactions.
Companies Mentioned
IBM
Capital One
Barnes and Noble
Amazon
Websites Mentioned

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